ArticleJournal of pharmaceutical policy and practice2024
Effect of electronic prescription system modifications on reducing prescribing errors in a military hospital.
Article in Journal of pharmaceutical policy and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Digital Health Revolution in Saudi Arabia: A Narrative Review of Healthcare Transformation.Healthcare (Basel, Switzerland) · 2026Review
- Transforming quality use of medicines in Saudi Arabia: physician perspectives on electronic prescribing systems.Frontiers in digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The implementation of electronic prescription systems has become a crucial advancement in healthcare, intending to enhance the precision, safety, and effectiveness of the prescription process. Electronic prescription systems provide many solutions to reduce prescribing errors by allowing system modifications that streamline the prescribing process to improve communication between healthcare practitioners Methods: This retrospective quantitative study assessed the effects of electronic prescribing system modification in a tertiary military centre in Saudi Arabia, specifically focusing on decreasing prescribing errors in different hospital departments. Collected data include all prescribing errors that occurred in the inpatient setting during the study period, while exclude prescribing errors for outpatient settings as they have different e-prescribing system. A total of 29,554 patient admissions were analysed to compare the frequency of prescribing errors before and after the introduction of electronic prescriptions modification. Results: The findings from this study indicate a total reduction in prescribing errors after electronic prescription modifications from 1.43% to 0.51% ( Conclusion: This study emphasises the advantages of electronic prescribing system modification in improving patient safety and optimising healthcare operations. However, the variance in results across departments highlights the need for tailored modifications and continuous system optimisation. By addressing the specific needs of each department, hospitals can maximise the benefits of e-prescribing system and achieve more consistent reductions in prescribing errors in clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.